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The Association of American Colleges and Universities identifies undergraduate research experiences as a high impact practice for increasing student success and retention in STEM majors. Most undergraduate research opportunities for community college engineering students involve partnerships with universities and typically take the form of paid summer experiences. Course-based Undergraduate Research Experiences (CUREs) offer an alternative model with potential for significant expansion of research opportunities for students. This approach weaves research into the courses students are already required to complete for their degrees. CUREs are an equitable approach for introducing students to research because they do not demand extracurricular financial and/or time commitments beyond what students must already commit to for their courses. This paper describes an adaptable model for implementing a CURE in an introductory engineering design and computing course that features applications of low-cost microcontrollers. Students work toward course learning outcomes focused on computer programming, engineering design processes, and effective teamwork in the context of multi-term research and development efforts to design, build, and test devices for other CUREs in science lab courses as well as for other applications at the college or with community partners. Students choose from a menu of projects each term, with a typical course offering involving four to six different projects running simultaneously. Each team identifies a focused design and development scope of work within the larger context of the project they are interested in. They give weekly progress reports and gather input from their customers. The work culminates in a prototype and final report to document their work for student teams who will carry it forward in future terms. We assessed the impact of the experience on students’ beliefs about science and engineering, STEM confidence, and career aspirations using a nationally normed survey for CUREs in STEM and report results from five terms of offering this course. We find statistically significant pre-post gains on two-thirds of the survey items relating to students’ understanding of the research process and confidence in their STEM abilities. The pre-post gains are generally comparable to those reported by others who used the same survey to assess the impact of a summer research experience for community college students. These findings indicate that the benefits of student participation in this CURE model are comparable to the benefits students see by participation in summer research programs. 

This NSF-IUSE project began in fall 2022 and features cross-disciplinary collaboration between faculty in engineering, math, history, English, and physics to design, pilot, and assess a new learning community approach to welcome precalculus level students into an engineering transfer degree program. The learning community spans two academic quarters and includes six different courses. The place-based curriculum includes contextualized precalculus and English composition, Pacific Northwest history, orientation to the engineering profession, and introductory skills such as problem-solving, computer programming, and team-based design. The program also features community-engaged project-based learning in the first quarter and a course-based undergraduate research experience in the second quarter, both with an overarching theme of energy and water resources. The approach leverages multiple high-impact educational practices to promote deep conceptual learning, motivate foundational skill development, explore social relevance and connection, and ultimately seeks to strengthen our students’ engineering identity, sense of belonging, and general academic preparation for success in an engineering major. Fall 2023 marked the first quarter of piloting the new learning community with a cohort of 19 students out of a capacity limit of 24. This paper reports on the demographics of the first cohort and compares them to enrollment in a parallel section of our Introduction to Engineering course that is not linked. We also share some of the students’ reasons for enrolling and their feedback on the experience. We found that students in populations with intensive entry advising such as International Programs and Running Start (a high school dual-enrollment program) appear to be overrepresented in the first cohort. This finding correlates with a theme in nearly all student responses that they learned about the program through advising. Finally, we describe some example activities and student projects that illustrate how the curriculum design integrates content across the academic disciplines involved. 

Mechanics instructors frequently employ hands-on demonstrations and activities in hopes of improving student learning outcomes. This paper presents results from a study exploring the effectiveness of a hands-on statics curriculum that spans several topics and is designed for implementation over multiple weeks. The modeling kit and associated series of activities integrates conceptual exploration with analysis procedure tutorials and aims to scaffold students’ development of representational competence, their ability to use multiple representations of a concept as appropriate for learning, problem solving, and communication. We conducted this study over two subsequent fall terms in multiple sections of a statics course at a mid-size public university. The intervention sections in fall 2023 were taught by two instructors who were both using the modeling kit for the first time. Both instructors administered a test of 3D vector concepts and representations called the Test of Representational Competence with Vectors (TRCV) in weeks 1 and at mid-term, the Mental Cutting Test (MCT) for spatial abilities in weeks 1 and at end-of-term (nine weeks later), and the Concept Assessment Test in Statics (CATS) at end of term. The control sections were taught by the same two instructors in fall 2022. These sections administered the same assessments on the same schedule but did not use the hands-on curriculum. We compare learning outcomes between the control and intervention sections as measured by the scores on the assessments described above as well as final course grades. We also share reflections from the two faculty participants regarding their experiences teaching with the models. 

This NSF-IUSE exploration and design project began in Fall 2018 and features cross-disciplinary collaboration between engineering, math, psychology, and math education faculty to develop learning activities with 3D-printed models for integral calculus and engineering statics. We are exploring how such models can scaffold spatial abilities and support learners’ development of conceptual understanding and representational competence. The project is addressing these questions through parallel work piloting model-based learning activities in the classroom and by investigating specific attributes of the activities in lab studies and focus groups. To date we have developed and piloted a mature suite of activities covering a variety of topics for both calculus and statics. After a year of classroom implementation and data collection at the institution where the curriculum was developed, the project team recruited math and engineering faculty from three other colleges to pilot the models starting Fall 2020. The goal of this expansion was to increase sample sizes and diversity for statistical analysis of classroom data and to learn about the experiences of faculty as they integrated the curriculum materials into their own courses. The original vision was for faculty to use the models in face-to-face instruction, but the transition to online modality in response to the COVID-19 pandemic forced a rapid pivot during this expansion that we reported on previously. Faculty participants who chose to continue with the project worked to incorporate the models in parallel with their respective efforts to adapt to online teaching. This poster focuses on the experiences of the participating math faculty. Ultimately these faculty taught online calculus courses both with and without the models from Fall 2020 through Spring 2022. We conducted pre and post participation interviews and report on their experiences. All participants reported their intention to continue to use the models beyond conclusion of the project and planned to try them in face-to-face instruction. The paper will discuss more details about the interview findings and conclude by making some recommendations for others who may be interested in exploring the use of hands-on models in Calculus instruction. 

This paper describes the results from an ongoing project where hands-on models and associated activities are integrated throughout an undergraduate statics course with the goal of deepening students’ conceptual understanding, scaffolding spatial skills, and therefore developing representational competence with foundational concepts such as vectors, forces, moments, and free-body diagrams. Representational competence refers to the fluency with which a subject expert can move between different representations of a concept (e.g. mathematical, symbolic, graphical, 2D vs. 3D, pictorial) as appropriate for communication, reasoning, and problem solving. This study sought to identify the characteristics of modeling activities that make them effective for all learners. Student volunteers engaged in individual interviews in which they solved problems that included 2D diagrams, 3D models, and worked calculations. Participating students had prior experience with the models and related activity sheets earlier in the course. Data was collected at the end of the quarter and the activities emphasized conceptual understanding. Thematic analysis was used to develop codes and identify themes in students’ use of the models as it relates to developing representational competence. Students used the models in a variety of ways. They wrote directly on the models, touched and gestured with the model, adjusted components, and observed the model from multiple orientations. They added new elements and deconstructed the models to feel the force or imagine how measurements would be impacted if one parameter was changed while all others held constant. In interviews students made connections to previous courses as well as previous activities and experiences with the models. In addition to using the 3D models, participants also used more than one representation (e.g. symbolic or 2D diagram) to solve problems and communicate thinking. While the use of models and manipulatives is commonplace in mechanics instruction, this work seeks to provide more nuanced information about how students use these learning aids to develop and reinforce their own understanding of key concepts. The authors hope these findings will be useful for others interested in designing and refining hands-on mechanics activities toward specific learning goals. 

Engineering instructors often use physical manipulatives such as foam beams, rolling cylinders, and large representations of axis systems to demonstrate mechanics concepts and help students visualize systems. Additional benefits are possible when manipulatives are in the hands of individual students or small teams of students who can explore concepts at their own pace and focus on their specific points of confusion. Online learning modalities require new strategies to promote spatial visualization and kinesthetic learning. Potential solutions include creating videos of the activities, using CAD models to demonstrate the principles, programming computer simulations, and providing hands-on manipulatives to students for at-home use. This Work-in-Progress paper discusses our experiences with this last strategy in statics courses two western community colleges and a western four-year university where we supplied students with their own hands-on kits. We have previously reported on the successful implementation of a hands-on statics kit consisting of 3D printed components and standard hardware. The kit was originally designed for use by teams of students during class to engage with topics such as vectors, moments, and rigid body equilibrium. With the onset of the COVID-19 pandemic and shift to online instruction, the first author developed a scaled down version of the kit for at-home use by individual students and modified the associated activity worksheets accordingly. For the community college courses, local students picked up their models at the campus bookstore. We also shipped some of the kits to students who were unable to come to campus, including some in other countries. Due to problems with printing and availability of materials, only 18 kits were available for the class of 34 students at the university implementation. Due to this circumstance, students were placed in teams and asked to work together virtually, one student showing the kit to the other student as they worked through the worksheet prompts. One community college instructor took this approach as well for a limited number of international students who did not receive their kits in a timely manner due to shipping problems. Two instructors assigned the hands-on kits as asynchronous learning activities in their respective online courses, with limited guidance on their use. The third used the kits primarily in synchronous online class meetings. We found that students’ reaction to the models varied by pilot site and presume that implementation differences contributed to this variation. In all cases, student feedback was less positive than it has been for face-to-face courses that used the models from which the take home kit was adapted. Our main conclusion is that implementation matters. Doing hands-on learning in an online course requires some fundamental rethinking about how the learning is structured and scaffolded. 

This NSF-IUSE exploration and design project began in fall 2018 and features cross-disciplinary collaboration between engineering, math, and psychology faculty to develop learning activities with 3D-printed models, build the theoretical basis for how they support learning, and assess their effectiveness in the classroom. We are exploring how such models can scaffold spatial skills and support learners’ development of conceptual understanding and representational competence in calculus and engineering statics. We are also exploring how to leverage the model-based activities to embed spatial skills training into these courses. The project’s original focus was on group learning in classroom activities with shared manipulatives. After a year of development and pilot activities, we commenced data collection in classroom implementations of a relatively mature curriculum starting fall 2019. Data collection ended abruptly in March 2020 when we had to shift gears in the context of a shift to online learning amid the COVID-19 pandemic. With uncertainty as to when the use of shared hands-on models in a collaborative in-person learning context would be feasible again, it was clear a change in approach would be necessary. We have since developed new versions of the models and associated curriculum designed for independent at-home use in the context of online learning. We implemented the new curricula in an online statics courses in fall 2020 and in multiple sections of online calculus courses in winter 2021. In this paper, we describe our strategies for implementing hands-on learning at home. We also present some example activities and compare the approach to the face-to-face versions. Finally, we compare student feedback results on the online activities to analogous feedback data from the classroom implementations and discuss implications for the anticipated return to face-to-face learning in the classroom.